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Data development
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LLM evaluation in enterprise applications: a new era in ML
Learn about the obstacles faced by data scientists in LLM evaluation and discover effective strategies for overcoming them.
AI data development: a guide for data science projects
What is AI data development? AI data development includes any action taken to convert raw information into a format useful to AI.
Building better enterprise AI: incorporating expert feedback in system development
Enterprises that aim to build valuable GenAI applications must view them from a systems-level. LLMs are just one part of an ecosystem.
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LLM-as-a-judge for enterprises: evaluate model alignment at scale
Discover how enterprises can leverage LLM-as-Judge systems to evaluate generative AI outputs at scale, improve model alignment, reduce costs, and tackle challenges like bias and interpretability.
Why enterprises should embrace LLM distillation
Unlock possibilities for your enterprise with LLM distillation. Learn how distilled, task-specific models boost performance and shrink costs.
LLM evaluation in enterprise applications: a new era in ML
Learn about the obstacles faced by data scientists in LLM evaluation and discover effective strategies for overcoming them.
All articles on
Data development
LLM-as-a-judge for enterprises: evaluate model alignment at scale
Discover how enterprises can leverage LLM-as-Judge systems to evaluate generative AI outputs at scale, improve model alignment, reduce costs, and tackle challenges like bias and interpretability.
Why enterprises should embrace LLM distillation
Unlock possibilities for your enterprise with LLM distillation. Learn how distilled, task-specific models boost performance and shrink costs.
LLM evaluation in enterprise applications: a new era in ML
Learn about the obstacles faced by data scientists in LLM evaluation and discover effective strategies for overcoming them.
AI data development: a guide for data science projects
What is AI data development? AI data development includes any action taken to convert raw information into a format useful to AI.
How a global financial services company built a specialized AI copilot accurate enough for production
Learn how Snorkel, Databricks, and AWS enabled the team to build and deploy small, specialized, and highly accurate models which met their AI production requirements and strategic goals.
Task Me Anything: innovating multimodal model benchmarks
“Task Me Anything” empowers data scientists to generate bespoke benchmarks to assess and choose the right multimodal model for their needs.
Alfred: Data labeling with foundation models and weak supervision
Introducing Alfred: an open-source tool for combining foundation models with weak supervision for faster development of academic data sets.
New GenAI features, data annotation: Snorkel Flow 2024.R2
This release features new GenAI tools and Multi-Schema Annotation, as well as new enterprise security tools and an updated home page.
How data slices transform enterprise LLM evaluation
Enterprises must evaluate LLM performance for production deployment. Custom, automated eval + data slices present the best path to production.
Meta’s Llama 3.1 405B is the new Mr. Miyagi, now what?
Meta’s Llama 3.1 405B, rivals GPT-4o in benchmarks, offering powerful AI capabilities. Despite high costs, it can enhance LLM adoption through fine-tuning, distillation, and as an AI judge.
Meta’s new Llama 3.1 models are here! Are you ready for it?
Meta released Llama 3 405B today, signaling a new era of open source AI. The model is ready to use on Snorkel Flow.
Data-centric AI with Snorkel and MinIO
High-performing AI systems require more than a well-designed model. They also require properly constructed training and testing data.
Weak supervision for non-categorical applications + superalignment
We need more labeled data than ever, so we have explored weak supervision for non-categorical applications—with notable results.
Vision language models: how LLMs boost image classification
Vision language models demonstrate impressive image classification capabilities, but LLMs can help improve their performance. Learn how.
How Bonito helps fine-tune specialized LLMs faster than ever
Fine-tuning specialized LLMs demands a lot of time and cost We developed Bonito to make this process faster, cheaper, and easier.
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